Data Engineer

Imagine if you had the skills, knowledge, and teammates to both understand the root of the world’s most pressing problems and build the technologies and companies best positioned to solve them. RA Capital has done exactly that for more than two decades, backing bold ideas in medicines to further human health and now expanding into Planetary Health to improve how efficiently we utilize the world’s precious resources. RA Capital is among the leading providers of capital and services to the most promising innovators in the world. We invest flexibly—seed to IPO and beyond, anywhere in the world—with $10 B+ under management and a culture that prizes curiosity, rigor, and collaborative debate. We are investors who not only fund companies but get elbow deep in building them. From helping them recruit talent to helping them recruit patients for their studies to helping match them to strategic partners and even going to Washington to win reforms, RA Capital’s large team has people with nearly every relevant expertise one might need to turn an idea into a cure that actually helps people. If you live for first-principles problem-solving with great colleagues, thrive on complexity, and want to do meaningful work that ripples across industries and ecosystems, you’ll feel at home at RA Capital. Here, questions are welcomed, ideas are tested, and victories are shared. Even our lawyers are creative and engaging. And don’t get us started on our compliance team’s wicked sense of humor; nothing about what we do is boring. Are you ready to bring your creativity, discipline and collaborative spirit to help us invent the future? Join us and you’ll collaborate daily with investors, founders, physicians, biologists, engineers, economists, and reform advocates who think in systems and act with urgency. Join us to invent a happier, healthier, more productive future - and have fun doing it. About the Team RA Capital’s Data Engineering team builds the enterprise data platform that powers research, investment, and operational workflows across the firm. Beyond traditional data pipelines, we are actively developing AI-native data access patterns that enable users to interact with complex healthcare datasets through LLM-powered, governed, and auditable interfaces. Our work sits at the intersection of healthcare data, large-scale data engineering, and applied AI, with a strong emphasis on reliability, compliance, and production readiness. About the Role We are seeking an engineer to help build and operate AI-enabled data platforms for healthcare data. This role goes beyond traditional ETL. You will work on healthcare data pipelines and contribute to AI-driven data access layers where large language models translate user intent into structured, governed queries, such as SQL or GraphQL. You will help bridge enterprise data systems with LLM-based interfaces that support self-service analytics, discovery, and decision-making. Responsibilities Design and maintain scalable, production-grade data pipelines for healthcare datasets, including claims and provider data. Build and optimize data models in Databricks to support analytical and AI-driven workloads. Develop high-quality Python and SQL code for data standardization, reconciliation, and validation. Partner with AI/ML engineers to enable LLM-powered data access. Contribute to AI-native data access frameworks. Collaborate with healthcare data vendors and internal stakeholders. Implement monitoring, validation, and governance for data and AI workflows. Document data architectures and AI-enabled pipelines. Key Skills and Experience Strong foundation in data engineering and data modeling. Proficiency in SQL, Python, Java, and Spark. Hands-on experience with Databricks and/or Snowflake. Experience in software development, data integration, vendor data management, and writing production-grade code for data reconciliation. Experience working with healthcare or other regulated datasets. Hands‑on experience with, or a strong interest in, LLM‑powered enterprise systems. Familiarity with GraphQL or other API‑based data access methods. Strong documentation and communication skills. Key Requirements Bachelor’s degree or higher in Computer Science, Data Science, Information Technology, Software Engineering, or a related field. A master’s degree is preferred. 1–3+ years of experience in software or data engineering. Authorization to work in the United States without current or future sponsorship. Must be based in Massachusetts, able to work in the Boston area, and available to work a hybrid schedule. Relocation assistance is not provided. Flexibility to work outside standard business hours as needed. Total Rewards We take pride in offering a comprehensive employee benefits program as a key part of overall compensation. Our Total Rewards include: Employer‑paid monthly premiums for health, dental, and vision coverage Wellness benefits and programs to support physical and mental well‑being Resources and perks that enhance work‑life balance and financial security We’re dedicated to helping our employees thrive professionally and personally. Massachusetts base pay range

$120,000 - $180,000 USD

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